| Presentation | 2005/7/15 A Hybrid Model for Paraphrase Acquisition Kotoh GO, Yutaka SHIMOKAWA, Satoshi NINOMIYA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Studies on paraphrasing are very important instruments in various research topics as automatic summarization, sentence generation, and question-answering. We in this paper propose a new approach to automatically extract paraphrase in lexical, syntactic and semantic levels using multiple cues extracted from linguistic resources as dictionary, thesaurus, parallel corpus and WWW, and cues from linguistic observations. This approach is applicable to many natural language tasks. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Paraphrase / Extraction / Similarity / Thesaurus / Corpus / WWW |
| Paper # | NLC2005-7 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2005/7/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Hybrid Model for Paraphrase Acquisition |
| Sub Title (in English) | |
| Keyword(1) | Paraphrase |
| Keyword(2) | Extraction |
| Keyword(3) | Similarity |
| Keyword(4) | Thesaurus |
| Keyword(5) | Corpus |
| Keyword(6) | WWW |
| 1st Author's Name | Kotoh GO |
| 1st Author's Affiliation | Faculty of Foreign Languages, Dokkyo University() |
| 2nd Author's Name | Yutaka SHIMOKAWA |
| 2nd Author's Affiliation | Faculty of Foreign Languages, Dokkyo University |
| 3rd Author's Name | Satoshi NINOMIYA |
| 3rd Author's Affiliation | Faculty of Foreign Languages, Dokkyo University |
| Date | 2005/7/15 |
| Paper # | NLC2005-7 |
| Volume (vol) | vol.105 |
| Number (no) | 203 |
| Page | pp.pp.- |
| #Pages | 4 |
| Date of Issue | |